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Reading path

For the IT Manager

Seven milestones to shape your IT department's AI strategy.

You are accountable for technology choices that impact security, cost and compliance. This path walks you from governance foundations (EU AI Act, RSP) through integration standards (MCP, function calling) to the 2025 key topic: on-prem AI for sensitive data, with no vendor lock-in.

  1. 01

    Why it matters to you

    The first truly production-grade LLM with a commercial license: it unlocks on-prem AI without depending on a single vendor.

    Landmark Open Source Models

    Llama 2: weights become commercially usable

    Meta releases Llama 2 (7B, 13B, 70B) under a license that allows commercial use up to 700M MAU. For the first time a serious LLM is genuinely deployable to production without depending on an API.
  2. 02

    Why it matters to you

    The de-facto standard for wiring LLMs into existing enterprise systems (ERP, CRM, ticketing): from here on AI also means process automation.

    High AI Infrastructure

    Function calling: GPT learns to speak JSON

    OpenAI adds 'function calling' to the API: the model returns structured JSON conforming to a schema, enabling reliable tool integrations without fragile prompt engineering.
  3. 03

    Why it matters to you

    The European regulatory frame defining duties and bans: knowing the risk class of your use case is step zero of any project.

    Landmark AI Security

    EU AI Act: European Parliament adopts the first comprehensive AI law

    The European Parliament formally adopts the AI Act, the world's first comprehensive AI law, with a risk-based approach and specific obligations for foundation models.
  4. 04

    Why it matters to you

    Context window and multimodality grow large enough to ingest entire corporate documents and datasets: it redraws the perimeter of what can be automated.

    High Multimodal AI

    GPT-4o: text, voice and images in a single model

    OpenAI unveils GPT-4o (omni), a single model that natively handles text, audio, and images with ~320 ms voice latency and GPT-4-class text quality — free for ChatGPT free users.
  5. 05

    Why it matters to you

    A concrete example of how an AI vendor documents its safety controls: a useful benchmark for vendor due diligence.

    Medium AI Security

    Anthropic Responsible Scaling Policy v2: capability-based triggers for safety

    Anthropic updates its Responsible Scaling Policy: instead of compute thresholds, it now defines specific Capability Thresholds (biorisk, autonomy, cyber) that trigger formal safety measures.
  6. 06

    Why it matters to you

    The open standard that drastically lowers lock-in: integrate your systems once and swap model or vendor without rewriting everything.

    High AI Infrastructure

    Model Context Protocol: the open standard to connect LLMs and data

    Anthropic open-sources the Model Context Protocol (MCP), a JSON-RPC standard that lets AI assistants talk to tools, file systems, databases, and SaaS without per-model ad-hoc integrations.
  7. 07

    Why it matters to you

    High-end reasoning in a self-hostable open-weight model: it changes the cost/benefit math between external APIs and in-house infrastructure.

    Landmark Open Source Models

    DeepSeek-R1: open reasoning matches o1 at 1/30 the cost

    Chinese startup DeepSeek releases R1, a reasoning model with MIT-licensed open weights. Performance on par with OpenAI o1, API pricing $0.55/$2.19 per 1M tokens (vs o1 $15/$60). Nasdaq AI loses $1T in two days.